PDF(Pubmed)
Abstract：
UNASSIGNED: Multiple studies point to the role of neuroinflammation in the pathophysiology of schizophrenia (SCZ), however, there have been few in vivo tools for imaging brain inflammation. Diffusion basis spectrum imaging (DBSI) is an advanced diffusion-based MRI method developed to quantitatively assess microstructural alternations relating to neuroinflammation, axonal fiber, and other white matter (WM) pathologies.
UNASSIGNED: We acquired one-hour-long high-directional diffusion MRI data from young control (CON, n = 27), schizophrenia (SCZ, n = 21), and bipolar disorder (BPD, n = 21) participants aged 18-30. We applied Tract-based Spatial Statistics (TBSS) to allow whole-brain WM analyses and compare DBSI-derived isotropic and anisotropic diffusion measures between groups. Clinical relationships of DBSI metrics with clinical symptoms were assessed across SCZ and control participants.
UNASSIGNED: In SCZ participants, we found a generalized increase in DBSI-derived cellularity (a putative marker of neuroinflammation), a decrease in restricted fiber fraction (a putative marker of apparent axonal density), and an increase in extra-axonal water (a putative marker of vasogenic edema) across several WM tracts. There were only minimal WM abnormalities noted in BPD, mainly in regions of the corpus callosum (increase in DTI-derived RD and extra-axonal water). DBSI metrics showed significant partial correlations with psychosis and mood symptoms across groups.
UNASSIGNED: Our findings suggest that SCZ involves generalized white matter neuroinflammation, decreased fiber density, and demyelination, which is not seen in bipolar disorder. Larger studies are needed to identify medication-related effects. DBSI metrics could help identify high-risk groups requiring early interventions to prevent the onset of psychosis and improve outcomes.
UNASSIGNED: We acquired one-hour-long high-directional diffusion MRI data from young control (CON, n = 27), schizophrenia (SCZ, n = 21), and bipolar disorder (BPD, n = 21) participants aged 18-30. We applied Tract-based Spatial Statistics (TBSS) to allow whole-brain WM analyses and compare DBSI-derived isotropic and anisotropic diffusion measures between groups. Clinical relationships of DBSI metrics with clinical symptoms were assessed across SCZ and control participants.
UNASSIGNED: In SCZ participants, we found a generalized increase in DBSI-derived cellularity (a putative marker of neuroinflammation), a decrease in restricted fiber fraction (a putative marker of apparent axonal density), and an increase in extra-axonal water (a putative marker of vasogenic edema) across several WM tracts. There were only minimal WM abnormalities noted in BPD, mainly in regions of the corpus callosum (increase in DTI-derived RD and extra-axonal water). DBSI metrics showed significant partial correlations with psychosis and mood symptoms across groups.
UNASSIGNED: Our findings suggest that SCZ involves generalized white matter neuroinflammation, decreased fiber density, and demyelination, which is not seen in bipolar disorder. Larger studies are needed to identify medication-related effects. DBSI metrics could help identify high-risk groups requiring early interventions to prevent the onset of psychosis and improve outcomes.
摘要：
■多项研究指出神经炎症在精神分裂症（SCZ）的病理生理学中的作用，然而,很少有用于成像脑部炎症的体内工具。扩散基频谱成像（DBSI）是一种先进的基于扩散的MRI方法，用于定量评估与神经炎症有关的微观结构变化。轴突纤维,和其他白质（WM）病理。
■我们从年轻对照获得了一小时的高定向扩散MRI数据（CON，n=27),精神分裂症（SCZ，n=21),和双相情感障碍（BPD，n=21)18-30岁的参与者。我们应用了基于轨道的空间统计（TBSS）来进行全脑WM分析，并比较了DBSI得出的各向同性和各向异性扩散度量。在SCZ和对照参与者中评估DBSI指标与临床症状的临床关系。
■在SCZ参与者中，我们发现DBSI衍生的细胞数量（神经炎症的假定标记）普遍增加，限制纤维分数的减少（表观轴突密度的推定标记），以及几个WM束的轴突外水（血管源性水肿的推定标志物）增加。在BPD中只注意到最小的WM异常，主要在call体区域（DTI衍生的RD和轴突外水增加）。DBSI指标显示各组与精神病和情绪症状的显着部分相关。
■我们的研究结果表明SCZ涉及全身白质神经炎症，纤维密度降低，脱髓鞘,这在双相情感障碍中没有见过。需要更大的研究来确定药物相关的影响。DBSI指标可以帮助识别需要早期干预以预防精神病发作并改善预后的高危人群。
■我们从年轻对照获得了一小时的高定向扩散MRI数据（CON，n=27),精神分裂症（SCZ，n=21),和双相情感障碍（BPD，n=21)18-30岁的参与者。我们应用了基于轨道的空间统计（TBSS）来进行全脑WM分析，并比较了DBSI得出的各向同性和各向异性扩散度量。在SCZ和对照参与者中评估DBSI指标与临床症状的临床关系。
■在SCZ参与者中，我们发现DBSI衍生的细胞数量（神经炎症的假定标记）普遍增加，限制纤维分数的减少（表观轴突密度的推定标记），以及几个WM束的轴突外水（血管源性水肿的推定标志物）增加。在BPD中只注意到最小的WM异常，主要在call体区域（DTI衍生的RD和轴突外水增加）。DBSI指标显示各组与精神病和情绪症状的显着部分相关。
■我们的研究结果表明SCZ涉及全身白质神经炎症，纤维密度降低，脱髓鞘,这在双相情感障碍中没有见过。需要更大的研究来确定药物相关的影响。DBSI指标可以帮助识别需要早期干预以预防精神病发作并改善预后的高危人群。
